Corpus ID: 231942580

DeepWalking Backwards: From Embeddings Back to Graphs

@article{Chanpuriya2021DeepWalkingBF,
  title={DeepWalking Backwards: From Embeddings Back to Graphs},
  author={Sudhanshu Chanpuriya and Cameron Musco and Konstantinos Sotiropoulos and Charalampos E. Tsourakakis},
  journal={ArXiv},
  year={2021},
  volume={abs/2102.08532}
}
Low-dimensional node embeddings play a key role in analyzing graph datasets. However, little work studies exactly what information is encoded by popular embedding methods, and how this information correlates with performance in downstream learning tasks. We tackle this question by studying whether embeddings can be inverted to (approximately) recover the graph used to generate them. Focusing on a variant of the popular DeepWalk method [Perozzi et al., 2014, Qiu et al., 2018], we present… Expand
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